Overview

Brought to you by YData

Dataset statistics

Number of variables22
Number of observations82704
Missing cells0
Missing cells (%)0.0%
Duplicate rows17235
Duplicate rows (%)20.8%
Total size in memory13.6 MiB
Average record size in memory172.0 B

Variable types

DateTime1
Numeric20
Categorical1

Alerts

label has constant value "0"Constant
Dataset has 17235 (20.8%) duplicate rowsDuplicates
Alpha_AF7 is highly overall correlated with Delta_AF7 and 1 other fieldsHigh correlation
Alpha_AF8 is highly overall correlated with Delta_AF8 and 1 other fieldsHigh correlation
Alpha_TP10 is highly overall correlated with Alpha_TP9 and 4 other fieldsHigh correlation
Alpha_TP9 is highly overall correlated with Alpha_TP10 and 2 other fieldsHigh correlation
Beta_AF8 is highly overall correlated with Gamma_AF8High correlation
Beta_TP10 is highly overall correlated with Alpha_TP10 and 2 other fieldsHigh correlation
Delta_AF7 is highly overall correlated with Alpha_AF7 and 1 other fieldsHigh correlation
Delta_AF8 is highly overall correlated with Alpha_AF8 and 1 other fieldsHigh correlation
Delta_TP10 is highly overall correlated with Alpha_TP10 and 3 other fieldsHigh correlation
Delta_TP9 is highly overall correlated with Alpha_TP9 and 2 other fieldsHigh correlation
Gamma_AF8 is highly overall correlated with Beta_AF8High correlation
Gamma_TP10 is highly overall correlated with Beta_TP10High correlation
Theta_AF7 is highly overall correlated with Alpha_AF7 and 1 other fieldsHigh correlation
Theta_AF8 is highly overall correlated with Alpha_AF8 and 1 other fieldsHigh correlation
Theta_TP10 is highly overall correlated with Alpha_TP10 and 3 other fieldsHigh correlation
Theta_TP9 is highly overall correlated with Alpha_TP10 and 4 other fieldsHigh correlation

Reproduction

Analysis started2024-11-05 23:00:17.333166
Analysis finished2024-11-05 23:01:01.548033
Duration44.21 seconds
Software versionydata-profiling vv4.10.0
Download configurationconfig.json

Variables

Distinct64585
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Memory size646.3 KiB
Minimum2024-10-11 20:38:11.939000
Maximum2024-10-11 20:48:43.923000
2024-11-05T18:01:01.745961image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:01.902495image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Delta_TP9
Real number (ℝ)

HIGH CORRELATION 

Distinct1748
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.70559715
Minimum-0.33510423
Maximum1.6064038
Zeros0
Zeros (%)0.0%
Negative2676
Negative (%)3.2%
Memory size646.3 KiB
2024-11-05T18:01:02.048654image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.33510423
5-th percentile0.088990524
Q10.4313331
median0.70254064
Q31.0054115
95-th percentile1.3374649
Maximum1.6064038
Range1.941508
Interquartile range (IQR)0.5740784

Descriptive statistics

Standard deviation0.39497771
Coefficient of variation (CV)0.55977793
Kurtosis-0.59881161
Mean0.70559715
Median Absolute Deviation (MAD)0.28253174
Skewness-0.020476605
Sum58355.707
Variance0.15600739
MonotonicityNot monotonic
2024-11-05T18:01:02.435564image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.75054675 1776
 
2.1%
0.13857464 1104
 
1.3%
0.71952724 901
 
1.1%
0.6234419 672
 
0.8%
0.3454402 669
 
0.8%
0.58148354 654
 
0.8%
0.17617263 648
 
0.8%
1.0140057 612
 
0.7%
0.44620198 600
 
0.7%
0.53125733 600
 
0.7%
Other values (1738) 74468
90.0%
ValueCountFrequency (%)
-0.33510423 411
0.5%
-0.26859432 25
 
< 0.1%
-0.21817063 380
0.5%
-0.1639805 26
 
< 0.1%
-0.14996877 158
 
0.2%
-0.14222832 26
 
< 0.1%
-0.13033913 26
 
< 0.1%
-0.12234299 26
 
< 0.1%
-0.12213151 26
 
< 0.1%
-0.092722625 26
 
< 0.1%
ValueCountFrequency (%)
1.6064038 26
 
< 0.1%
1.5759093 78
0.1%
1.569642 26
 
< 0.1%
1.5686669 26
 
< 0.1%
1.568237 26
 
< 0.1%
1.5513206 26
 
< 0.1%
1.5505865 26
 
< 0.1%
1.5476288 26
 
< 0.1%
1.5447823 26
 
< 0.1%
1.5376135 26
 
< 0.1%

Delta_AF7
Real number (ℝ)

HIGH CORRELATION 

Distinct3062
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.50448635
Minimum-0.80191934
Maximum1.7496483
Zeros0
Zeros (%)0.0%
Negative12185
Negative (%)14.7%
Memory size646.3 KiB
2024-11-05T18:01:02.561702image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.80191934
5-th percentile-0.22572167
Q10.16527382
median0.5448455
Q30.83894825
95-th percentile1.1622808
Maximum1.7496483
Range2.5515676
Interquartile range (IQR)0.67367443

Descriptive statistics

Standard deviation0.43339327
Coefficient of variation (CV)0.85907829
Kurtosis-0.5297032
Mean0.50448635
Median Absolute Deviation (MAD)0.3206125
Skewness-0.11333526
Sum41723.039
Variance0.18782973
MonotonicityNot monotonic
2024-11-05T18:01:02.692572image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.515416 591
 
0.7%
0.015372191 427
 
0.5%
0.12716751 373
 
0.5%
0.71305144 329
 
0.4%
1.3507568 307
 
0.4%
0.41102985 275
 
0.3%
0.840967 271
 
0.3%
1.386123 228
 
0.3%
0.12346749 208
 
0.3%
1.0491109 208
 
0.3%
Other values (3052) 79487
96.1%
ValueCountFrequency (%)
-0.80191934 26
< 0.1%
-0.7432174 26
< 0.1%
-0.6794938 19
< 0.1%
-0.5780974 26
< 0.1%
-0.57729226 26
< 0.1%
-0.55037296 26
< 0.1%
-0.5407874 26
< 0.1%
-0.51701176 26
< 0.1%
-0.516346 26
< 0.1%
-0.5124347 26
< 0.1%
ValueCountFrequency (%)
1.7496483 26
< 0.1%
1.7493814 26
< 0.1%
1.6913778 26
< 0.1%
1.6909072 26
< 0.1%
1.6905056 26
< 0.1%
1.6634355 26
< 0.1%
1.6633232 26
< 0.1%
1.6631585 26
< 0.1%
1.542554 3
 
< 0.1%
1.518101 26
< 0.1%

Delta_AF8
Real number (ℝ)

HIGH CORRELATION 

Distinct2698
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.53904205
Minimum-0.67401236
Maximum1.5165182
Zeros0
Zeros (%)0.0%
Negative9700
Negative (%)11.7%
Memory size646.3 KiB
2024-11-05T18:01:02.828758image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.67401236
5-th percentile-0.19611801
Q10.26567554
median0.56931895
Q30.8341702
95-th percentile1.1777499
Maximum1.5165182
Range2.1905306
Interquartile range (IQR)0.56849466

Descriptive statistics

Standard deviation0.40914871
Coefficient of variation (CV)0.75902931
Kurtosis-0.45826194
Mean0.53904205
Median Absolute Deviation (MAD)0.28395775
Skewness-0.25051445
Sum44580.934
Variance0.16740267
MonotonicityNot monotonic
2024-11-05T18:01:02.959177image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.27277198 935
 
1.1%
1.2077267 745
 
0.9%
1.0164934 591
 
0.7%
0.93624455 533
 
0.6%
0.53626347 494
 
0.6%
0.8856997 461
 
0.6%
0.813053 445
 
0.5%
0.8230151 439
 
0.5%
0.61964536 379
 
0.5%
1.2588356 373
 
0.5%
Other values (2688) 77309
93.5%
ValueCountFrequency (%)
-0.67401236 26
< 0.1%
-0.6493353 26
< 0.1%
-0.6248127 26
< 0.1%
-0.60721016 26
< 0.1%
-0.5500323 26
< 0.1%
-0.5194649 26
< 0.1%
-0.5136891 26
< 0.1%
-0.4637491 26
< 0.1%
-0.46328944 26
< 0.1%
-0.4632652 26
< 0.1%
ValueCountFrequency (%)
1.5165182 13
 
< 0.1%
1.5104482 338
0.4%
1.4822541 26
 
< 0.1%
1.4510862 130
 
0.2%
1.4496949 26
 
< 0.1%
1.4183276 26
 
< 0.1%
1.4170823 26
 
< 0.1%
1.4113896 61
 
0.1%
1.3988466 26
 
< 0.1%
1.3903227 260
0.3%

Delta_TP10
Real number (ℝ)

HIGH CORRELATION 

Distinct1814
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.69077289
Minimum-0.49028024
Maximum1.9214865
Zeros0
Zeros (%)0.0%
Negative2899
Negative (%)3.5%
Memory size646.3 KiB
2024-11-05T18:01:03.091564image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.49028024
5-th percentile0.08408228
Q10.4093028
median0.69745237
Q30.9464245
95-th percentile1.3732065
Maximum1.9214865
Range2.4117667
Interquartile range (IQR)0.5371217

Descriptive statistics

Standard deviation0.40494702
Coefficient of variation (CV)0.58622308
Kurtosis-0.086878034
Mean0.69077289
Median Absolute Deviation (MAD)0.27773243
Skewness0.046916979
Sum57129.681
Variance0.16398209
MonotonicityNot monotonic
2024-11-05T18:01:03.232063image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.13432698 1181
 
1.4%
0.08438157 1095
 
1.3%
0.36829722 1073
 
1.3%
0.726148 708
 
0.9%
0.5648898 678
 
0.8%
0.81935257 654
 
0.8%
1.0993242 612
 
0.7%
0.41294312 600
 
0.7%
0.6785298 591
 
0.7%
0.9250435 550
 
0.7%
Other values (1804) 74962
90.6%
ValueCountFrequency (%)
-0.49028024 26
 
< 0.1%
-0.48951286 26
 
< 0.1%
-0.4860946 221
0.3%
-0.4057365 380
0.5%
-0.35123995 26
 
< 0.1%
-0.23045763 182
0.2%
-0.22993113 26
 
< 0.1%
-0.2260477 26
 
< 0.1%
-0.1983719 26
 
< 0.1%
-0.18664448 26
 
< 0.1%
ValueCountFrequency (%)
1.9214865 1
 
< 0.1%
1.9188081 26
 
< 0.1%
1.8265651 286
0.3%
1.8188039 19
 
< 0.1%
1.7842088 26
 
< 0.1%
1.7831166 26
 
< 0.1%
1.7520205 26
 
< 0.1%
1.7232525 26
 
< 0.1%
1.7020211 26
 
< 0.1%
1.701241 26
 
< 0.1%

Theta_TP9
Real number (ℝ)

HIGH CORRELATION 

Distinct1748
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.53971238
Minimum-0.5652339
Maximum1.4034507
Zeros0
Zeros (%)0.0%
Negative5234
Negative (%)6.3%
Memory size646.3 KiB
2024-11-05T18:01:03.361893image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.5652339
5-th percentile-0.015088377
Q10.2884964
median0.5229791
Q30.788715
95-th percentile1.1644291
Maximum1.4034507
Range1.9686846
Interquartile range (IQR)0.5002186

Descriptive statistics

Standard deviation0.35418273
Coefficient of variation (CV)0.65624348
Kurtosis-0.42247454
Mean0.53971238
Median Absolute Deviation (MAD)0.24851834
Skewness0.071473516
Sum44636.373
Variance0.12544541
MonotonicityNot monotonic
2024-11-05T18:01:03.504235image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.026471455 1776
 
2.1%
0.4078013 1104
 
1.3%
0.62145156 901
 
1.1%
0.40449208 672
 
0.8%
0.8209879 669
 
0.8%
0.5165173 654
 
0.8%
0.22533204 648
 
0.8%
0.49162042 612
 
0.7%
0.23185158 600
 
0.7%
0.49722007 600
 
0.7%
Other values (1738) 74468
90.0%
ValueCountFrequency (%)
-0.5652339 156
0.2%
-0.50215936 26
 
< 0.1%
-0.41857162 41
 
< 0.1%
-0.40873918 26
 
< 0.1%
-0.32128656 26
 
< 0.1%
-0.29455817 26
 
< 0.1%
-0.2899014 26
 
< 0.1%
-0.26965916 26
 
< 0.1%
-0.2606719 26
 
< 0.1%
-0.2591072 26
 
< 0.1%
ValueCountFrequency (%)
1.4034507 25
 
< 0.1%
1.391734 26
 
< 0.1%
1.3902637 471
0.6%
1.3706143 26
 
< 0.1%
1.3642738 47
 
0.1%
1.345749 26
 
< 0.1%
1.334956 25
 
< 0.1%
1.3307358 26
 
< 0.1%
1.3302885 26
 
< 0.1%
1.3301661 26
 
< 0.1%

Theta_AF7
Real number (ℝ)

HIGH CORRELATION 

Distinct3062
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.16154778
Minimum-1.024258
Maximum1.2762928
Zeros0
Zeros (%)0.0%
Negative31201
Negative (%)37.7%
Memory size646.3 KiB
2024-11-05T18:01:03.646715image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-1.024258
5-th percentile-0.3533664
Q1-0.10884467
median0.13720096
Q30.41492957
95-th percentile0.7741119
Maximum1.2762928
Range2.3005508
Interquartile range (IQR)0.52377424

Descriptive statistics

Standard deviation0.35084318
Coefficient of variation (CV)2.1717611
Kurtosis-0.35409062
Mean0.16154778
Median Absolute Deviation (MAD)0.2632819
Skewness0.34019784
Sum13360.648
Variance0.12309094
MonotonicityNot monotonic
2024-11-05T18:01:03.801183image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0479491 591
 
0.7%
-0.18681224 427
 
0.5%
-0.18400644 373
 
0.5%
-0.08439287 329
 
0.4%
0.90950906 307
 
0.4%
-0.26911423 275
 
0.3%
0.8885262 271
 
0.3%
1.2762928 228
 
0.3%
0.071508564 208
 
0.3%
0.81031334 208
 
0.3%
Other values (3052) 79487
96.1%
ValueCountFrequency (%)
-1.024258 26
 
< 0.1%
-0.922979 26
 
< 0.1%
-0.7553878 26
 
< 0.1%
-0.6744018 26
 
< 0.1%
-0.63939035 26
 
< 0.1%
-0.60867625 26
 
< 0.1%
-0.5977918 26
 
< 0.1%
-0.592147 26
 
< 0.1%
-0.5666094 26
 
< 0.1%
-0.5521292 130
0.2%
ValueCountFrequency (%)
1.2762928 228
0.3%
1.1782061 26
 
< 0.1%
1.178194 26
 
< 0.1%
1.1366621 26
 
< 0.1%
1.1096328 29
 
< 0.1%
1.1079733 26
 
< 0.1%
1.1073408 26
 
< 0.1%
1.107238 26
 
< 0.1%
1.0815902 26
 
< 0.1%
1.0813934 26
 
< 0.1%

Theta_AF8
Real number (ℝ)

HIGH CORRELATION 

Distinct2698
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.17770951
Minimum-1.0883224
Maximum1.3217444
Zeros0
Zeros (%)0.0%
Negative25319
Negative (%)30.6%
Memory size646.3 KiB
2024-11-05T18:01:03.992842image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-1.0883224
5-th percentile-0.39590645
Q1-0.057569433
median0.17423971
Q30.43106845
95-th percentile0.7316935
Maximum1.3217444
Range2.4100668
Interquartile range (IQR)0.48863788

Descriptive statistics

Standard deviation0.36876007
Coefficient of variation (CV)2.0750722
Kurtosis0.84666709
Mean0.17770951
Median Absolute Deviation (MAD)0.24521904
Skewness-0.20321789
Sum14697.287
Variance0.13598399
MonotonicityNot monotonic
2024-11-05T18:01:04.138975image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.0423481 935
 
1.1%
0.43303934 745
 
0.9%
0.55786365 591
 
0.7%
0.38820705 533
 
0.6%
-0.23243046 494
 
0.6%
0.6733088 461
 
0.6%
0.27387995 445
 
0.5%
0.43106845 439
 
0.5%
0.03333305 379
 
0.5%
1.3217444 373
 
0.5%
Other values (2688) 77309
93.5%
ValueCountFrequency (%)
-1.0883224 26
 
< 0.1%
-1.0774606 26
 
< 0.1%
-1.0621821 26
 
< 0.1%
-1.0571556 26
 
< 0.1%
-1.0423481 935
1.1%
-0.96786684 26
 
< 0.1%
-0.81538045 26
 
< 0.1%
-0.74774593 26
 
< 0.1%
-0.74533814 26
 
< 0.1%
-0.71175086 26
 
< 0.1%
ValueCountFrequency (%)
1.3217444 373
0.5%
1.267336 26
 
< 0.1%
1.2257303 237
0.3%
1.1220251 26
 
< 0.1%
1.1098882 26
 
< 0.1%
1.096916 26
 
< 0.1%
1.0776732 26
 
< 0.1%
1.0664538 21
 
< 0.1%
1.0519953 26
 
< 0.1%
1.0452373 182
0.2%

Theta_TP10
Real number (ℝ)

HIGH CORRELATION 

Distinct1814
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4899393
Minimum-0.4798014
Maximum1.5057349
Zeros0
Zeros (%)0.0%
Negative7640
Negative (%)9.2%
Memory size646.3 KiB
2024-11-05T18:01:04.278491image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.4798014
5-th percentile-0.08359462
Q10.23614861
median0.46015838
Q30.7314768
95-th percentile1.1437147
Maximum1.5057349
Range1.9855363
Interquartile range (IQR)0.49532819

Descriptive statistics

Standard deviation0.36818023
Coefficient of variation (CV)0.75148131
Kurtosis-0.39424565
Mean0.4899393
Median Absolute Deviation (MAD)0.24986802
Skewness0.19238147
Sum40519.94
Variance0.13555668
MonotonicityNot monotonic
2024-11-05T18:01:04.420238image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.02076885 1181
 
1.4%
0.5875351 1095
 
1.3%
-0.16216917 1073
 
1.3%
0.61022025 708
 
0.9%
-0.022139851 678
 
0.8%
0.402988 654
 
0.8%
-0.098020494 612
 
0.7%
0.3807151 600
 
0.7%
1.0985632 591
 
0.7%
0.73354053 550
 
0.7%
Other values (1804) 74962
90.6%
ValueCountFrequency (%)
-0.4798014 26
 
< 0.1%
-0.47216704 26
 
< 0.1%
-0.4600128 26
 
< 0.1%
-0.41733196 305
0.4%
-0.4069947 26
 
< 0.1%
-0.39800185 26
 
< 0.1%
-0.34462193 11
 
< 0.1%
-0.34458244 39
 
< 0.1%
-0.3414303 26
 
< 0.1%
-0.33801913 26
 
< 0.1%
ValueCountFrequency (%)
1.5057349 26
 
< 0.1%
1.5049301 26
 
< 0.1%
1.5018967 26
 
< 0.1%
1.4924849 26
 
< 0.1%
1.4590183 26
 
< 0.1%
1.4559814 129
0.2%
1.448694 133
0.2%
1.4100252 26
 
< 0.1%
1.3930286 26
 
< 0.1%
1.3554819 26
 
< 0.1%

Alpha_TP9
Real number (ℝ)

HIGH CORRELATION 

Distinct1346
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.72608338
Minimum-0.010133764
Maximum1.7540668
Zeros0
Zeros (%)0.0%
Negative380
Negative (%)0.5%
Memory size646.3 KiB
2024-11-05T18:01:04.560484image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.010133764
5-th percentile0.27259704
Q10.49023318
median0.71566075
Q30.928792
95-th percentile1.2414871
Maximum1.7540668
Range1.7642006
Interquartile range (IQR)0.43855882

Descriptive statistics

Standard deviation0.30993638
Coefficient of variation (CV)0.42686059
Kurtosis0.045750311
Mean0.72608338
Median Absolute Deviation (MAD)0.21882272
Skewness0.31967859
Sum60049.999
Variance0.096060557
MonotonicityNot monotonic
2024-11-05T18:01:04.696864image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4387374 1776
 
2.1%
0.45396483 1104
 
1.3%
0.9378857 901
 
1.1%
0.8437494 705
 
0.9%
0.5488564 672
 
0.8%
1.1554592 669
 
0.8%
0.8566038 654
 
0.8%
0.31133413 648
 
0.8%
0.5820789 612
 
0.7%
0.728899 600
 
0.7%
Other values (1336) 74363
89.9%
ValueCountFrequency (%)
-0.010133764 380
0.5%
0.037807547 147
 
0.2%
0.04249323 41
 
< 0.1%
0.04647119 26
 
< 0.1%
0.04860552 26
 
< 0.1%
0.05455767 26
 
< 0.1%
0.07319447 26
 
< 0.1%
0.07385785 26
 
< 0.1%
0.074152075 97
 
0.1%
0.085639 26
 
< 0.1%
ValueCountFrequency (%)
1.7540668 26
 
< 0.1%
1.7510599 208
0.3%
1.7508006 26
 
< 0.1%
1.7445627 26
 
< 0.1%
1.7256242 26
 
< 0.1%
1.7076495 26
 
< 0.1%
1.6063274 26
 
< 0.1%
1.5776734 316
0.4%
1.5537777 26
 
< 0.1%
1.5427042 285
0.3%

Alpha_AF7
Real number (ℝ)

HIGH CORRELATION 

Distinct2237
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.23660243
Minimum-0.65334094
Maximum1.5151086
Zeros0
Zeros (%)0.0%
Negative16459
Negative (%)19.9%
Memory size646.3 KiB
2024-11-05T18:01:04.836690image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.65334094
5-th percentile-0.18932132
Q10.038410697
median0.18786214
Q30.36184254
95-th percentile0.8238773
Maximum1.5151086
Range2.1684495
Interquartile range (IQR)0.32343184

Descriptive statistics

Standard deviation0.33529336
Coefficient of variation (CV)1.4171171
Kurtosis3.5465331
Mean0.23660243
Median Absolute Deviation (MAD)0.15849698
Skewness1.4873608
Sum19567.967
Variance0.11242164
MonotonicityNot monotonic
2024-11-05T18:01:04.970033image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.4431542 708
 
0.9%
-0.36888778 427
 
0.5%
0.6541547 390
 
0.5%
1.423259 373
 
0.5%
-0.3910424 373
 
0.5%
1.2527179 353
 
0.4%
0.49977973 338
 
0.4%
-0.14575051 329
 
0.4%
0.35221174 323
 
0.4%
0.32611775 312
 
0.4%
Other values (2227) 78778
95.3%
ValueCountFrequency (%)
-0.65334094 3
 
< 0.1%
-0.64799184 52
0.1%
-0.6393918 26
< 0.1%
-0.5952672 26
< 0.1%
-0.54141045 26
< 0.1%
-0.4954084 26
< 0.1%
-0.47889936 26
< 0.1%
-0.4746681 26
< 0.1%
-0.45817548 26
< 0.1%
-0.42543274 26
< 0.1%
ValueCountFrequency (%)
1.5151086 52
 
0.1%
1.4973216 78
 
0.1%
1.4968799 182
 
0.2%
1.4748824 78
 
0.1%
1.4555196 81
 
0.1%
1.4533818 19
 
< 0.1%
1.4431542 708
0.9%
1.423259 373
0.5%
1.4206085 78
 
0.1%
1.4201921 261
 
0.3%

Alpha_AF8
Real number (ℝ)

HIGH CORRELATION 

Distinct2013
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2896822
Minimum-0.49448085
Maximum1.4337693
Zeros0
Zeros (%)0.0%
Negative12016
Negative (%)14.5%
Memory size646.3 KiB
2024-11-05T18:01:05.101829image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.49448085
5-th percentile-0.16706425
Q10.10886287
median0.29707086
Q30.45142806
95-th percentile0.7733206
Maximum1.4337693
Range1.9282501
Interquartile range (IQR)0.34256519

Descriptive statistics

Standard deviation0.28917806
Coefficient of variation (CV)0.9982597
Kurtosis1.4245004
Mean0.2896822
Median Absolute Deviation (MAD)0.17237492
Skewness0.44757699
Sum23957.876
Variance0.083623951
MonotonicityNot monotonic
2024-11-05T18:01:05.249404image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.4537734 935
 
1.1%
0.353579 745
 
0.9%
0.2996058 708
 
0.9%
0.626913 553
 
0.7%
0.4491274 533
 
0.6%
-0.22094443 494
 
0.6%
0.52509946 461
 
0.6%
0.13254076 445
 
0.5%
0.47762337 439
 
0.5%
1.2704518 390
 
0.5%
Other values (2003) 77001
93.1%
ValueCountFrequency (%)
-0.49448085 51
 
0.1%
-0.4537734 935
1.1%
-0.4310632 171
 
0.2%
-0.39536595 26
 
< 0.1%
-0.3920496 19
 
< 0.1%
-0.38995457 26
 
< 0.1%
-0.38603625 26
 
< 0.1%
-0.37102666 26
 
< 0.1%
-0.36658794 26
 
< 0.1%
-0.34630495 26
 
< 0.1%
ValueCountFrequency (%)
1.4337693 273
0.3%
1.3661605 26
 
< 0.1%
1.2704518 390
0.5%
1.2561033 353
0.4%
1.2524134 1
 
< 0.1%
1.0963023 338
0.4%
1.0959449 52
 
0.1%
1.088034 123
 
0.1%
0.9440093 237
0.3%
0.9350415 87
 
0.1%

Alpha_TP10
Real number (ℝ)

HIGH CORRELATION 

Distinct1358
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.69137179
Minimum-0.15728354
Maximum1.6717061
Zeros0
Zeros (%)0.0%
Negative704
Negative (%)0.9%
Memory size646.3 KiB
2024-11-05T18:01:05.386631image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.15728354
5-th percentile0.14840485
Q10.46224093
median0.68805474
Q30.88804597
95-th percentile1.3512166
Maximum1.6717061
Range1.8289896
Interquartile range (IQR)0.42580504

Descriptive statistics

Standard deviation0.32727076
Coefficient of variation (CV)0.47336435
Kurtosis0.027579746
Mean0.69137179
Median Absolute Deviation (MAD)0.21319309
Skewness0.31356314
Sum57179.213
Variance0.10710615
MonotonicityNot monotonic
2024-11-05T18:01:05.540242image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.34262863 1181
 
1.4%
0.14027707 1095
 
1.3%
0.32010022 1073
 
1.3%
0.622047 708
 
0.9%
1.3851777 708
 
0.9%
0.23260567 678
 
0.8%
0.38936573 654
 
0.8%
0.75924855 614
 
0.7%
0.3463398 612
 
0.7%
0.61465865 600
 
0.7%
Other values (1348) 74781
90.4%
ValueCountFrequency (%)
-0.15728354 156
 
0.2%
-0.051908076 407
0.5%
-0.02776567 5
 
< 0.1%
-0.0157322 110
 
0.1%
-0.007736659 26
 
< 0.1%
0.005547859 26
 
< 0.1%
0.02590599 26
 
< 0.1%
0.027220113 26
 
< 0.1%
0.040850356 26
 
< 0.1%
0.04462968 26
 
< 0.1%
ValueCountFrequency (%)
1.6717061 117
0.1%
1.6714683 26
 
< 0.1%
1.6705587 26
 
< 0.1%
1.6702687 26
 
< 0.1%
1.6691549 26
 
< 0.1%
1.6625866 26
 
< 0.1%
1.580001 26
 
< 0.1%
1.5295447 26
 
< 0.1%
1.5287766 130
0.2%
1.52872 25
 
< 0.1%

Beta_TP9
Real number (ℝ)

Distinct1748
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.54737501
Minimum0.1365746
Maximum1.1716106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size646.3 KiB
2024-11-05T18:01:05.686003image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.1365746
5-th percentile0.30262426
Q10.45730677
median0.54916865
Q30.64861476
95-th percentile0.8080863
Maximum1.1716106
Range1.035036
Interquartile range (IQR)0.19130799

Descriptive statistics

Standard deviation0.1490089
Coefficient of variation (CV)0.27222452
Kurtosis0.33850911
Mean0.54737501
Median Absolute Deviation (MAD)0.09449795
Skewness0.21279051
Sum45270.103
Variance0.022203652
MonotonicityNot monotonic
2024-11-05T18:01:05.830639image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5181544 1776
 
2.1%
0.31089175 1104
 
1.3%
0.81626934 901
 
1.1%
0.6657584 672
 
0.8%
0.859356 669
 
0.8%
0.5971505 654
 
0.8%
0.6869109 648
 
0.8%
0.3454745 612
 
0.7%
0.66787404 600
 
0.7%
0.4786894 600
 
0.7%
Other values (1738) 74468
90.0%
ValueCountFrequency (%)
0.1365746 26
 
< 0.1%
0.15820292 26
 
< 0.1%
0.18745694 26
 
< 0.1%
0.19242266 147
0.2%
0.20443563 149
0.2%
0.20905355 367
0.4%
0.22173165 26
 
< 0.1%
0.22367072 26
 
< 0.1%
0.22422661 26
 
< 0.1%
0.23426759 26
 
< 0.1%
ValueCountFrequency (%)
1.1716106 26
< 0.1%
1.1654366 26
< 0.1%
1.1576754 26
< 0.1%
1.1415755 26
< 0.1%
1.1351825 26
< 0.1%
1.1067898 26
< 0.1%
1.1024258 26
< 0.1%
1.0711652 26
< 0.1%
1.0407102 26
< 0.1%
1.0398903 26
< 0.1%

Beta_AF7
Real number (ℝ)

Distinct3061
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.024827189
Minimum-0.388571
Maximum0.63075686
Zeros0
Zeros (%)0.0%
Negative52829
Negative (%)63.9%
Memory size646.3 KiB
2024-11-05T18:01:05.966431image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.388571
5-th percentile-0.23327777
Q1-0.1214288
median-0.03886597
Q30.045859084
95-th percentile0.22470479
Maximum0.63075686
Range1.0193279
Interquartile range (IQR)0.16728788

Descriptive statistics

Standard deviation0.15003105
Coefficient of variation (CV)-6.0430141
Kurtosis3.028272
Mean-0.024827189
Median Absolute Deviation (MAD)0.083502145
Skewness1.1450971
Sum-2053.3078
Variance0.022509317
MonotonicityNot monotonic
2024-11-05T18:01:06.108016image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.63075686 591
 
0.7%
0.11802954 427
 
0.5%
0.044034522 373
 
0.5%
0.22444744 329
 
0.4%
0.01995299 307
 
0.4%
-0.08946839 275
 
0.3%
0.044636175 271
 
0.3%
0.26496592 228
 
0.3%
-0.0077440855 208
 
0.3%
0.0015502303 208
 
0.3%
Other values (3051) 79487
96.1%
ValueCountFrequency (%)
-0.388571 26
< 0.1%
-0.38542086 26
< 0.1%
-0.36945903 26
< 0.1%
-0.36051774 26
< 0.1%
-0.35870242 26
< 0.1%
-0.3558992 26
< 0.1%
-0.3555874 26
< 0.1%
-0.3536955 52
0.1%
-0.35173258 26
< 0.1%
-0.35088098 9
 
< 0.1%
ValueCountFrequency (%)
0.63075686 591
0.7%
0.6245438 25
 
< 0.1%
0.60822296 26
 
< 0.1%
0.60322213 15
 
< 0.1%
0.59413344 26
 
< 0.1%
0.59207964 26
 
< 0.1%
0.578194 19
 
< 0.1%
0.5662992 26
 
< 0.1%
0.54931575 26
 
< 0.1%
0.5439711 26
 
< 0.1%

Beta_AF8
Real number (ℝ)

HIGH CORRELATION 

Distinct2698
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.34725061
Minimum-0.32362264
Maximum0.94199723
Zeros0
Zeros (%)0.0%
Negative6534
Negative (%)7.9%
Memory size646.3 KiB
2024-11-05T18:01:06.245913image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.32362264
5-th percentile-0.044020507
Q10.1434865
median0.33486757
Q30.5553217
95-th percentile0.7289577
Maximum0.94199723
Range1.2656199
Interquartile range (IQR)0.4118352

Descriptive statistics

Standard deviation0.25108012
Coefficient of variation (CV)0.72305162
Kurtosis-0.94578224
Mean0.34725061
Median Absolute Deviation (MAD)0.20797828
Skewness-0.022449794
Sum28719.015
Variance0.063041225
MonotonicityNot monotonic
2024-11-05T18:01:06.656812image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.54284585 935
 
1.1%
0.53180563 745
 
0.9%
0.23409522 591
 
0.7%
0.6808428 533
 
0.6%
0.3987713 494
 
0.6%
0.5852731 461
 
0.6%
0.1990727 445
 
0.5%
0.79565656 439
 
0.5%
0.0050937706 379
 
0.5%
0.49709418 373
 
0.5%
Other values (2688) 77309
93.5%
ValueCountFrequency (%)
-0.32362264 11
< 0.1%
-0.31574875 26
< 0.1%
-0.3059161 26
< 0.1%
-0.2940152 26
< 0.1%
-0.2882017 26
< 0.1%
-0.28114298 26
< 0.1%
-0.2804898 26
< 0.1%
-0.267904 26
< 0.1%
-0.25834745 26
< 0.1%
-0.25217694 26
< 0.1%
ValueCountFrequency (%)
0.94199723 26
< 0.1%
0.9419253 26
< 0.1%
0.918661 26
< 0.1%
0.9029571 26
< 0.1%
0.8872632 26
< 0.1%
0.8788579 26
< 0.1%
0.8761344 26
< 0.1%
0.87278616 26
< 0.1%
0.8660474 26
< 0.1%
0.8653737 26
< 0.1%

Beta_TP10
Real number (ℝ)

HIGH CORRELATION 

Distinct1814
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.51653179
Minimum0.0019041058
Maximum1.3511261
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size646.3 KiB
2024-11-05T18:01:06.789394image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.0019041058
5-th percentile0.23409328
Q10.39817157
median0.49152353
Q30.615631
95-th percentile0.84149754
Maximum1.3511261
Range1.349222
Interquartile range (IQR)0.21745943

Descriptive statistics

Standard deviation0.1817179
Coefficient of variation (CV)0.3518039
Kurtosis1.0656004
Mean0.51653179
Median Absolute Deviation (MAD)0.10671823
Skewness0.60851974
Sum42719.245
Variance0.033021394
MonotonicityNot monotonic
2024-11-05T18:01:06.935190image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.43812922 1181
 
1.4%
0.3935599 1095
 
1.3%
0.43352154 1073
 
1.3%
0.40650672 708
 
0.9%
0.23047492 678
 
0.8%
0.445777 654
 
0.8%
0.4463696 612
 
0.7%
0.8962924 600
 
0.7%
0.84149754 591
 
0.7%
0.681951 550
 
0.7%
Other values (1804) 74962
90.6%
ValueCountFrequency (%)
0.0019041058 313
0.4%
0.13809367 179
0.2%
0.14171325 411
0.5%
0.14540529 26
 
< 0.1%
0.14919125 26
 
< 0.1%
0.16011405 303
0.4%
0.16600202 26
 
< 0.1%
0.16692747 407
0.5%
0.18251859 39
 
< 0.1%
0.18262057 147
 
0.2%
ValueCountFrequency (%)
1.3511261 19
< 0.1%
1.3329885 26
< 0.1%
1.3141003 26
< 0.1%
1.293239 26
< 0.1%
1.2705196 26
< 0.1%
1.246215 26
< 0.1%
1.2209504 26
< 0.1%
1.1954765 26
< 0.1%
1.141737 26
< 0.1%
1.1245946 45
0.1%

Gamma_TP9
Real number (ℝ)

Distinct1748
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.16422242
Minimum-0.41039
Maximum0.8644331
Zeros0
Zeros (%)0.0%
Negative14307
Negative (%)17.3%
Memory size646.3 KiB
2024-11-05T18:01:07.074006image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.41039
5-th percentile-0.10307981
Q10.036726814
median0.15586972
Q30.27762827
95-th percentile0.44792998
Maximum0.8644331
Range1.2748231
Interquartile range (IQR)0.24090146

Descriptive statistics

Standard deviation0.17723031
Coefficient of variation (CV)1.079209
Kurtosis1.1769328
Mean0.16422242
Median Absolute Deviation (MAD)0.12039456
Skewness0.51937462
Sum13581.851
Variance0.031410584
MonotonicityNot monotonic
2024-11-05T18:01:07.218893image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3603399 1776
 
2.1%
0.008378546 1104
 
1.3%
0.44792998 901
 
1.1%
0.027036395 672
 
0.8%
0.8644331 669
 
0.8%
0.16149823 654
 
0.8%
0.22418948 648
 
0.8%
0.28876066 612
 
0.7%
0.05629347 600
 
0.7%
0.32389832 600
 
0.7%
Other values (1738) 74468
90.0%
ValueCountFrequency (%)
-0.41039 26
 
< 0.1%
-0.31546456 26
 
< 0.1%
-0.29752457 26
 
< 0.1%
-0.28970972 287
0.3%
-0.28412238 145
0.2%
-0.27215952 26
 
< 0.1%
-0.25133598 26
 
< 0.1%
-0.2341335 26
 
< 0.1%
-0.21146974 208
0.3%
-0.20854323 26
 
< 0.1%
ValueCountFrequency (%)
0.8644331 669
0.8%
0.8402879 26
 
< 0.1%
0.8271825 13
 
< 0.1%
0.71921146 26
 
< 0.1%
0.7187923 26
 
< 0.1%
0.7153161 78
 
0.1%
0.7082019 26
 
< 0.1%
0.70327586 26
 
< 0.1%
0.69239295 26
 
< 0.1%
0.657108 26
 
< 0.1%

Gamma_AF7
Real number (ℝ)

Distinct3061
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.34859034
Minimum-0.7273519
Maximum0.33212206
Zeros0
Zeros (%)0.0%
Negative80690
Negative (%)97.6%
Memory size646.3 KiB
2024-11-05T18:01:07.352899image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.7273519
5-th percentile-0.5704418
Q1-0.4519618
median-0.3663583
Q3-0.2672917
95-th percentile-0.08466561
Maximum0.33212206
Range1.059474
Interquartile range (IQR)0.1846701

Descriptive statistics

Standard deviation0.15499233
Coefficient of variation (CV)-0.44462602
Kurtosis2.5726998
Mean-0.34859034
Median Absolute Deviation (MAD)0.09158476
Skewness1.0341489
Sum-28829.815
Variance0.024022623
MonotonicityNot monotonic
2024-11-05T18:01:07.485149image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.33212206 591
 
0.7%
-0.25232315 427
 
0.5%
-0.43802416 373
 
0.5%
-0.37782884 329
 
0.4%
-0.4106443 307
 
0.4%
-0.11158241 275
 
0.3%
-0.32671887 271
 
0.3%
-0.13258588 228
 
0.3%
-0.40504947 208
 
0.3%
-0.21345739 208
 
0.3%
Other values (3051) 79487
96.1%
ValueCountFrequency (%)
-0.7273519 26
< 0.1%
-0.72513777 26
< 0.1%
-0.7111689 26
< 0.1%
-0.7079603 26
< 0.1%
-0.7023356 26
< 0.1%
-0.6964258 26
< 0.1%
-0.6857057 26
< 0.1%
-0.68069905 26
< 0.1%
-0.68047047 26
< 0.1%
-0.6801854 26
< 0.1%
ValueCountFrequency (%)
0.33212206 591
0.7%
0.3116443 26
 
< 0.1%
0.286172 26
 
< 0.1%
0.28529662 26
 
< 0.1%
0.28216037 26
 
< 0.1%
0.27289063 26
 
< 0.1%
0.2570843 26
 
< 0.1%
0.25477183 26
 
< 0.1%
0.2511363 26
 
< 0.1%
0.23377803 26
 
< 0.1%

Gamma_AF8
Real number (ℝ)

HIGH CORRELATION 

Distinct2698
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.108232
Minimum-0.6982946
Maximum0.84535784
Zeros0
Zeros (%)0.0%
Negative32326
Negative (%)39.1%
Memory size646.3 KiB
2024-11-05T18:01:07.611524image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.6982946
5-th percentile-0.28425485
Q1-0.11613895
median0.11030544
Q30.33060706
95-th percentile0.5132797
Maximum0.84535784
Range1.5436524
Interquartile range (IQR)0.44674601

Descriptive statistics

Standard deviation0.26836841
Coefficient of variation (CV)2.4795663
Kurtosis-0.79239488
Mean0.108232
Median Absolute Deviation (MAD)0.22208678
Skewness-0.013629263
Sum8951.2192
Variance0.072021605
MonotonicityNot monotonic
2024-11-05T18:01:07.739857image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.25555915 935
 
1.1%
0.30471754 745
 
0.9%
-0.08953396 591
 
0.7%
0.5215275 533
 
0.6%
-0.055769116 494
 
0.6%
0.4349247 461
 
0.6%
-0.17409736 445
 
0.5%
0.22799556 439
 
0.5%
-0.19726934 379
 
0.5%
0.033971284 373
 
0.5%
Other values (2688) 77309
93.5%
ValueCountFrequency (%)
-0.6982946 26
 
< 0.1%
-0.6950946 26
 
< 0.1%
-0.67445296 101
0.1%
-0.58544147 26
 
< 0.1%
-0.57088536 27
 
< 0.1%
-0.56386423 26
 
< 0.1%
-0.5601097 26
 
< 0.1%
-0.5592469 26
 
< 0.1%
-0.5264512 26
 
< 0.1%
-0.5129136 26
 
< 0.1%
ValueCountFrequency (%)
0.84535784 156
0.2%
0.8425592 26
 
< 0.1%
0.83695567 26
 
< 0.1%
0.8266423 26
 
< 0.1%
0.8150505 26
 
< 0.1%
0.8069707 26
 
< 0.1%
0.8022834 26
 
< 0.1%
0.7956655 26
 
< 0.1%
0.78288704 26
 
< 0.1%
0.7644806 13
 
< 0.1%

Gamma_TP10
Real number (ℝ)

HIGH CORRELATION 

Distinct1814
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1089806
Minimum-0.4319339
Maximum1.2413386
Zeros0
Zeros (%)0.0%
Negative25245
Negative (%)30.5%
Memory size646.3 KiB
2024-11-05T18:01:07.879208image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.4319339
5-th percentile-0.17165124
Q1-0.029867506
median0.096228346
Q30.19682828
95-th percentile0.44080812
Maximum1.2413386
Range1.6732725
Interquartile range (IQR)0.22669579

Descriptive statistics

Standard deviation0.20674109
Coefficient of variation (CV)1.8970448
Kurtosis3.3962855
Mean0.1089806
Median Absolute Deviation (MAD)0.11797152
Skewness1.2016965
Sum9013.1319
Variance0.042741879
MonotonicityNot monotonic
2024-11-05T18:01:08.017934image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.25633445 1181
 
1.4%
-0.07373067 1095
 
1.3%
0.054338984 1073
 
1.3%
0.098986566 708
 
0.9%
-0.012729426 678
 
0.8%
0.15879056 654
 
0.8%
0.13232927 612
 
0.7%
0.3084336 600
 
0.7%
0.8056685 591
 
0.7%
0.22093904 550
 
0.7%
Other values (1804) 74962
90.6%
ValueCountFrequency (%)
-0.4319339 380
0.5%
-0.37152454 26
 
< 0.1%
-0.35891882 26
 
< 0.1%
-0.35756242 26
 
< 0.1%
-0.35263956 130
 
0.2%
-0.31378123 219
0.3%
-0.3018436 26
 
< 0.1%
-0.30129194 26
 
< 0.1%
-0.26943544 26
 
< 0.1%
-0.2608508 26
 
< 0.1%
ValueCountFrequency (%)
1.2413386 19
< 0.1%
1.2342421 26
< 0.1%
1.2215304 26
< 0.1%
1.2030104 26
< 0.1%
1.1788546 26
< 0.1%
1.150872 26
< 0.1%
1.1217695 26
< 0.1%
1.0936832 26
< 0.1%
1.0500015 26
< 0.1%
1.0101496 26
< 0.1%

label
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.6 MiB
0
82704 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters82704
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 82704
100.0%

Length

2024-11-05T18:01:08.144932image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-11-05T18:01:08.244997image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 82704
100.0%

Most occurring characters

ValueCountFrequency (%)
0 82704
100.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 82704
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 82704
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 82704
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 82704
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 82704
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 82704
100.0%

Interactions

2024-11-05T18:00:58.682686image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:20.465856image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:22.599827image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:24.485253image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:26.404674image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:28.215543image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:30.412406image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:32.147620image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:33.925692image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:36.263748image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:38.120833image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:39.860179image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:42.214581image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:44.156866image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:46.216657image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:48.158527image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:50.388592image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:52.366474image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:54.339947image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:56.604804image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:58.783676image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:20.612224image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:22.694958image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:24.589787image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:26.498841image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:28.312303image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:30.508020image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:32.245966image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:34.046725image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:36.351523image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:38.209822image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:39.959896image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:42.349611image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:44.246501image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:46.368182image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:48.263118image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:50.500820image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:52.468136image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:54.447243image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:56.719426image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:58.884580image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:20.697601image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:22.776699image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:24.680792image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:26.583511image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:28.401934image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:30.594517image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:32.322759image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:34.132245image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:36.441493image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:38.289170image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:40.050156image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:42.466500image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:44.329635image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:46.465225image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:48.350453image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:50.599953image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:52.564213image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:54.531624image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:56.820447image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:58.978279image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:20.784527image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:22.866958image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:24.781742image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:26.669711image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:28.494526image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:30.679799image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:32.406687image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:34.227736image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:36.529543image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:38.373591image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:40.141207image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:42.578480image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:44.415961image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:46.567592image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:48.440319image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:50.695446image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:52.650106image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:54.619385image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:56.922496image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:59.070349image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:20.895896image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:22.965394image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:24.876694image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:26.761429image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:28.583395image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:30.763283image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:32.493284image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:34.318472image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:36.614182image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:38.459140image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:40.229289image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:42.668788image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:44.496218image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:46.660189image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:48.531518image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:50.785921image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:52.738394image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:54.702871image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:57.047294image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:59.181699image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:20.997830image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:23.062649image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:24.980779image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:26.878982image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:28.950654image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:30.861735image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:32.580777image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:34.425392image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:36.710657image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:38.547870image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:40.328213image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:42.765897image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:44.591831image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:46.762743image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:48.629182image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:50.895800image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-11-05T18:00:56.092927image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:58.177016image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:00.336069image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:22.214742image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:24.113318image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:26.030176image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:27.864093image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:30.014890image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:31.798623image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:33.551954image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:35.874319image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:37.751045image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:39.491680image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:41.484046image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:43.781367image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:45.748374image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:47.799711image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:49.970306image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:51.967873image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:53.934780image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:56.187727image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:58.281310image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:00.435616image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:22.314748image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:24.201785image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:26.124077image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:27.951854image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:30.113490image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:31.889267image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:33.642526image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:35.974905image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:37.850295image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:39.581921image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:41.598344image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:43.876408image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:45.845626image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:47.890339image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:50.078408image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:52.064003image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:54.032523image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:56.282005image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:58.381121image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:00.533793image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:22.401538image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:24.288935image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:26.210326image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:28.033760image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:30.212165image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:31.964681image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:33.727509image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:36.064900image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:37.934709image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:39.665669image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:41.999580image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:43.964299image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:45.935106image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:47.974806image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:50.173812image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:52.153398image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:54.134385image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:56.383533image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:58.481317image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:00.664485image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:22.501563image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:24.378266image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:26.309855image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:28.127218image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:30.311946image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:32.060318image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:33.828164image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:36.166097image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:38.023957image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:39.759041image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:42.100731image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:44.058433image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:46.108727image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:48.065476image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:50.277555image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:52.260159image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:54.236439image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:56.501917image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:00:58.578004image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Correlations

2024-11-05T18:01:08.331851image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Alpha_AF7Alpha_AF8Alpha_TP10Alpha_TP9Beta_AF7Beta_AF8Beta_TP10Beta_TP9Delta_AF7Delta_AF8Delta_TP10Delta_TP9Gamma_AF7Gamma_AF8Gamma_TP10Gamma_TP9Theta_AF7Theta_AF8Theta_TP10Theta_TP9
Alpha_AF71.0000.2760.1700.0920.2090.1160.1830.1100.5370.1990.2410.1980.1890.1200.1380.0300.6920.2700.2770.243
Alpha_AF80.2761.0000.1430.1850.1170.1980.1620.2660.1720.5140.2110.2950.0730.1950.0950.1960.2610.6330.2290.248
Alpha_TP100.1700.1431.0000.5770.0470.0180.5190.2100.0210.0280.5920.391-0.0420.0540.3430.1480.0650.0310.7100.527
Alpha_TP90.0920.1850.5771.0000.0490.0940.3700.340-0.050-0.0490.3890.506-0.0850.0920.2260.227-0.0300.0020.4780.681
Beta_AF70.2090.1170.0470.0491.000-0.1270.0490.0860.1770.1960.049-0.0250.444-0.1660.073-0.0390.1930.1790.1020.036
Beta_AF80.1160.1980.0180.094-0.1271.0000.1940.1610.070-0.0520.0990.206-0.2500.8300.1920.0700.0670.0630.0530.160
Beta_TP100.1830.1620.5190.3700.0490.1941.0000.3730.1720.1700.4860.4390.0040.1940.5220.2450.1670.1550.5040.456
Beta_TP90.1100.2660.2100.3400.0860.1610.3731.0000.1280.1670.2200.2770.0940.1640.1920.2610.1200.1790.2730.333
Delta_AF70.5370.1720.021-0.0500.1770.0700.1720.1281.0000.4470.2150.1760.1660.0620.138-0.0160.8240.3940.1790.143
Delta_AF80.1990.5140.028-0.0490.196-0.0520.1700.1670.4471.0000.1850.2230.174-0.0770.1070.1500.3790.8190.2030.142
Delta_TP100.2410.2110.5920.3890.0490.0990.4860.2200.2150.1851.0000.585-0.0090.1160.3140.1640.2220.1280.7100.525
Delta_TP90.1980.2950.3910.506-0.0250.2060.4390.2770.1760.2230.5851.000-0.0800.2120.2910.2800.1700.1710.4600.734
Gamma_AF70.1890.073-0.042-0.0850.444-0.2500.0040.0940.1660.174-0.009-0.0801.000-0.2010.0340.0690.1660.1170.0630.001
Gamma_AF80.1200.1950.0540.092-0.1660.8300.1940.1640.062-0.0770.1160.212-0.2011.0000.2510.0940.0830.0280.0870.184
Gamma_TP100.1380.0950.3430.2260.0730.1920.5220.1920.1380.1070.3140.2910.0340.2511.0000.3590.0720.0740.3000.286
Gamma_TP90.0300.1960.1480.227-0.0390.0700.2450.261-0.0160.1500.1640.2800.0690.0940.3591.0000.0170.1110.1040.198
Theta_AF70.6920.2610.065-0.0300.1930.0670.1670.1200.8240.3790.2220.1700.1660.0830.0720.0171.0000.4140.2250.186
Theta_AF80.2700.6330.0310.0020.1790.0630.1550.1790.3940.8190.1280.1710.1170.0280.0740.1110.4141.0000.2180.160
Theta_TP100.2770.2290.7100.4780.1020.0530.5040.2730.1790.2030.7100.4600.0630.0870.3000.1040.2250.2181.0000.656
Theta_TP90.2430.2480.5270.6810.0360.1600.4560.3330.1430.1420.5250.7340.0010.1840.2860.1980.1860.1600.6561.000

Missing values

2024-11-05T18:01:00.825679image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-11-05T18:01:01.174568image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

TimeStampDelta_TP9Delta_AF7Delta_AF8Delta_TP10Theta_TP9Theta_AF7Theta_AF8Theta_TP10Alpha_TP9Alpha_AF7Alpha_AF8Alpha_TP10Beta_TP9Beta_AF7Beta_AF8Beta_TP10Gamma_TP9Gamma_AF7Gamma_AF8Gamma_TP10label
02024-10-11 20:38:11.9390.529213-0.2617990.6085960.3230130.22339-0.4265960.1325640.2814310.8387970.2097670.1465370.9447450.401226-0.032555-0.0890440.3245960.012930-0.327971-0.1094570.1151770
12024-10-11 20:38:11.9400.529213-0.2617990.6085960.3230130.22339-0.4265960.1325640.2814310.8387970.2097670.1465370.9447450.401226-0.032555-0.0890440.3245960.012930-0.327971-0.1094570.1151770
22024-10-11 20:38:11.9420.529213-0.2617990.6085960.3230130.22339-0.4265960.1325640.2814310.8387970.2097670.1465370.9447450.401226-0.032555-0.0890440.3245960.012930-0.327971-0.1094570.1151770
32024-10-11 20:38:11.9430.529213-0.2617990.6085960.3230130.22339-0.4265960.1325640.2814310.8387970.2097670.1465370.9447450.401226-0.032555-0.0890440.3245960.012930-0.327971-0.1094570.1151770
42024-10-11 20:38:11.9440.529213-0.2617990.6085960.3230130.22339-0.4265960.1325640.2814310.8387970.2097670.1465370.9447450.401226-0.032555-0.0890440.3245960.012930-0.327971-0.1094570.1151770
52024-10-11 20:38:11.9450.529213-0.2617990.6085960.3230130.22339-0.4265960.1325640.2814310.8387970.2097670.1465370.9447450.401226-0.032555-0.0890440.3245960.012930-0.327971-0.1094570.1151770
62024-10-11 20:38:11.9470.529213-0.2617990.6085960.3230130.22339-0.4265960.1325640.2814310.8387970.2097670.1465370.9447450.401226-0.032555-0.0890440.3245960.012930-0.327971-0.1094570.1151770
72024-10-11 20:38:11.9480.529213-0.2617990.6085960.3230130.22339-0.4265960.1325640.2814310.8387970.2097670.1465370.9447450.401226-0.032555-0.0890440.3245960.012930-0.327971-0.1094570.1151770
82024-10-11 20:38:11.9490.529213-0.2617990.6085960.3230130.22339-0.4265960.1325640.2814310.8387970.2097670.1465370.9447450.401226-0.032555-0.0890440.3245960.012930-0.327971-0.1094570.1151770
92024-10-11 20:38:11.9500.522805-0.2578710.5247710.3081160.23958-0.4059110.0821200.2695950.8387970.2097670.1513690.9447450.388792-0.038370-0.0546540.331498-0.001643-0.324570-0.1082880.1112790
TimeStampDelta_TP9Delta_AF7Delta_AF8Delta_TP10Theta_TP9Theta_AF7Theta_AF8Theta_TP10Alpha_TP9Alpha_AF7Alpha_AF8Alpha_TP10Beta_TP9Beta_AF7Beta_AF8Beta_TP10Gamma_TP9Gamma_AF7Gamma_AF8Gamma_TP10label
826942024-10-11 20:48:43.9061.3358430.3948890.2455471.2786451.095650.273791-0.2060980.3966580.6071090.0398200.1265470.582820.7422790.0246680.5870330.7035620.384967-0.1970210.2761640.2793870
826952024-10-11 20:48:43.9081.3358430.3948890.2455471.2786451.095650.273791-0.2060980.3966580.6071090.0398200.1265470.582820.7422790.0246680.5870330.7035620.384967-0.1970210.2761640.2793870
826962024-10-11 20:48:43.9091.3358430.3948890.2455471.2786451.095650.273791-0.2060980.3966580.6071090.0398200.1265470.582820.7422790.0246680.5870330.7035620.384967-0.1970210.2761640.2793870
826972024-10-11 20:48:43.9101.3358430.3948890.2455471.2786451.095650.273791-0.2060980.3966580.6071090.0398200.1265470.582820.7422790.0246680.5870330.7035620.384967-0.1970210.2761640.2793870
826982024-10-11 20:48:43.9111.3358430.3948890.2455471.2786451.095650.273791-0.2060980.3966580.6071090.0398200.1265470.582820.7422790.0246680.5870330.7035620.384967-0.1970210.2761640.2793870
826992024-10-11 20:48:43.9121.3358430.4049050.2494241.2786451.095650.276897-0.1978020.3966580.6071090.0300690.1081260.582820.7422790.0247550.5795890.7035620.384967-0.2105530.2665710.2793870
827002024-10-11 20:48:43.9191.3358430.4049050.2494241.2786451.095650.276897-0.1978020.3966580.6071090.0300690.1081260.582820.7422790.0247550.5795890.7035620.384967-0.2105530.2665710.2793870
827012024-10-11 20:48:43.9211.3358430.4049050.2494241.2786451.095650.276897-0.1978020.3966580.6071090.0300690.1081260.582820.7422790.0247550.5795890.7035620.384967-0.2105530.2665710.2793870
827022024-10-11 20:48:43.9221.3358430.4049050.2494241.2786451.095650.276897-0.1978020.3966580.6071090.0300690.1081260.582820.7422790.0247550.5795890.7035620.384967-0.2105530.2665710.2793870
827032024-10-11 20:48:43.9231.3358430.4049050.2494241.2786451.095650.276897-0.1978020.3966580.6071090.0300690.1081260.582820.7422790.0247550.5795890.7035620.384967-0.2105530.2665710.2793870

Duplicate rows

Most frequently occurring

TimeStampDelta_TP9Delta_AF7Delta_AF8Delta_TP10Theta_TP9Theta_AF7Theta_AF8Theta_TP10Alpha_TP9Alpha_AF7Alpha_AF8Alpha_TP10Beta_TP9Beta_AF7Beta_AF8Beta_TP10Gamma_TP9Gamma_AF7Gamma_AF8Gamma_TP10label# duplicates
172024-10-11 20:38:12.3060.526127-0.2170290.1517350.3157510.284968-0.308913-0.0274100.2609000.8387970.2054530.1572060.9447450.288812-0.031326-0.0061790.316081-0.069203-0.334209-0.1572110.04358503
242024-10-11 20:38:12.4060.532149-0.2017550.0197900.3342130.297421-0.268899-0.0464080.2480150.8389320.1965580.1462540.9367960.279201-0.024356-0.0102200.314806-0.082489-0.343442-0.1755930.00771003
252024-10-11 20:38:12.4080.532149-0.2017550.0197900.3342130.297421-0.268899-0.0464080.2480150.8389320.1965580.1462540.9367960.279201-0.024356-0.0102200.314806-0.082489-0.343442-0.1755930.00771003
1432024-10-11 20:38:16.4740.682114-0.320228-0.0580890.8394870.8942280.038402-0.3765880.8899181.242083-0.1523190.2215870.8895540.9525850.4133180.0306590.6386760.5710350.282160-0.0781570.09201503
1682024-10-11 20:38:16.6540.555269-0.369503-0.1087020.7329270.767900-0.096675-0.4099130.7517901.419325-0.1028670.2222830.9000071.0163410.3297120.0617000.6324310.5485000.254772-0.0908390.09108703
1732024-10-11 20:38:16.6930.530084-0.361923-0.1173390.6989590.727013-0.110020-0.4232300.7167791.471880-0.0811910.2222830.9116531.0306470.3022480.0852380.6138380.5334510.233663-0.0856450.08036603
1772024-10-11 20:38:16.8240.530084-0.361923-0.1173390.6989590.727013-0.110020-0.4232300.7167791.471880-0.0811910.2222830.9116531.0306470.3022480.0852380.6138380.5334510.233663-0.0856450.08036603
3692024-10-11 20:38:24.0450.6798360.0955030.0753420.4899690.614657-0.027097-0.1986080.3576530.750973-0.647992-0.0590420.2776650.660586-0.211605-0.0701850.3512490.093406-0.199724-0.1423420.18013603
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